How to combine data from SAS with JIRA

Pipes allows you to quickly Integrate SAS with JIRA data for a combined analysis.
Load data from SAS and JIRA into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to SAS, JIRA, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to SAS and JIRA

You just need to enter the associated credentials to allow Pipes access to the SAS API and the JIRA API.
3

Combine data from SAS and JIRA

Pipes lets you select the data from SAS and JIRA that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About SAS

SAS provides a business analytics suite which help clients to gain insights from their data. The SAS software includes a basic SAS component that performs analytical functions and several other modules that add graphics, spreadsheets or other features.

About JIRA

JIRA Software is built for each and every member of the software team to track, plan, and release great software. JIRA is a proprietary issue tracking solution developed by Atlassian. JIRA provides issue tracking, bug tracking, and project management functions. JIRA’s powerful issue tracking service allows teams to assign work, organize, capture issues, and track team activity.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.